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Based on the achievement of synthesis of LSCO nanotubes, a nanotube gas sensor was fabricated with microelectromechanical system technology and its NH3sensing characteristics were invest

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bKey Laboratory of Acoustic and Photonic Materials and Devices of Ministry of Education, Wuhan University, Wuhan 430072, People’s Republic of China

cCenter of Nanoscience and Nanotechnology, Wuhan University, Wuhan 430072, People’s Republic of China

a r t i c l e i n f o

Article history:

Received 26 November 2007

Received in revised form 13 April 2008

Accepted 14 April 2008

Available online 30 April 2008

Keywords:

LSCO nanotubes

Gas sensors

Fast response

a b s t r a c t

La0.5Sr0.5CoO3−ı(LSCO) nanotubes were synthesized by using a porous anodic aluminum oxide (AAO) template from a sol–gel solution Based on the achievement of synthesis of LSCO nanotubes, a nanotube gas sensor was fabricated with microelectromechanical system technology and its NH3sensing characteristics were investigated Capacitance of LSCO nanotubes was changed by two orders of magnitude within several seconds of exposure to NH3molecules at room temperature The detection limit of the LSCO nanotube sensor was several ppm, and the typical response and recovery time of the sensor at room temperature was only several seconds Our results demonstrate the potential application of LSCO nanotubes for fabricating

a highly sensitive and fast response gas sensor

© 2008 Elsevier B.V All rights reserved

1 Introduction

Recently, one-dimensional (1-D) nanostructures, including

semiconducting carbon nanotubes [1,2], functionalized carbon

nanotubes [3,4], Si nanowires [5,6], ZnO nanowires [7], V2O5

nanowires[8], In2O3nanowires[9,10], WO3nanowires[11], SnO2

nanowires[12], and metal nanowires[13,14], have been

demon-strated as effective ultrasensitive chemical and biological sensors

because of their high surface-to-volume ratio and their unique

electrical properties These features may enable a sensitivity high

enough to charged analytes so that single molecule detection

becomes possible[15] In addition, the direct conversion that from

chemical information into electrical signal can take advantage of

existing low-power microelectronic technology and lead to

minia-turized sensor devices

The recovery time is a very important parameter for gas sensors

Most of the nanotube based gas sensors have slow recovery time

ranging from several minutes to several hours[1,11,12,16], which

limits the practical application of these sensors Some assistant

methods, such as UV irradiation and high voltage pulse[11,16,17]

are used to decrease the recovery time, but these assistant methods

also make the sensors inconvenient to use In this letter we report

a fast recover gas sensor based on LSCO nanotubes Our devices

exhibit a large response to NH3 at room temperature Moreover,

∗ Corresponding author at: Department of Physics, Wuhan University, Wuhan

430072, People’s Republic of China.

E-mail address:wliu.whu@gmail.com (X.-z Zhao).

Response time as short as several seconds has also been achieved, which is far better than the results previously obtained[1,11,12,16]

2 Experiment methods

2.1 AAO membrane preparation

High-purity aluminum sheets (99.999%, 20 mm× 10 mm) were used in this experiment Prior to anodization, the metal surfaces were degreased, etched in an alkaline solution, rinsed in distilled water, and electropolished to achieve a smooth surface It was nec-essary to immerse the samples in a concentrated acid or alkaline solution for several minutes to remove the oxide layer formed during the electropolishing process All samples were rinsed in dis-tilled water again and then transferred to a nitrogen environment The resultant clean aluminum samples were anodized at constant potential in 0.3 M oxalic acid (C2H2O4) (40 V, 4◦C, Pt sheet as a counter electrode) The anode was then immersed in an aqueous solution of 0.6 M H3PO4 and 0.15 M H2CrO4 at 60◦C for 10 h to remove the alumina layer Subsequently, the Al sheet was rean-odized for 20 h under the same condition again and became an AAO template with highly ordered nanoporous arrays

2.2 LSCO sol preparation

The LSCO sol were prepared from the starting materials

of lanthanum acetate (La(CH3COO)3·1.5H2O), strontium acetate (Sr(CH3COO)2·0.5H2O) and cobalt acetate (Co(CH3COO)2·4H2O) The starting materials were mixed at a molar ratio of La:Sr:Co 0925-4005/$ – see front matter © 2008 Elsevier B.V All rights reserved.

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Fig 1 Apparatus for gas sensing test.

= 1− x:x:1 and dissolved in heated acetic acid and deionized

water; acetylacetone (CH3COCH2COCH3) was added to stabilize the

solution at a the volume ratio of CH3COCH2COCH3/H2O = 1:1)

For-mamide (HCONH2) was also added to the system at a volume ratio

of HCONH2/H2O = 1:3) in order to avoid cracking during heating

The concentration of solution was diluted to 0.3 M Co

2.3 LSCO nanotubes preparation

The alumina template membrane was dipped into the sol for

a desired period of time and then removed, the excess sol on the

membrane surface was wiped off using a laboratory tissue, followed

by drying under vacuum at 100◦C for 24 h The membrane surface

was carefully wiped again to remove salts crystallized on the

sur-face and heated at 700◦C for 4 h in open air, resulting in formation

of arrays of LSCO nanotubes in the inside of the pores of the AAO

template

2.4 Characterization

The morphologies of the LSCO nanowires were characterized by

a scanning electron microscope (SEM, Sirion FEG, FEI)

For the capacitance measurement, a pair of interdigitated

elec-trodes (IDE) was fabricated using a conventional photolithographic

method with a finger width of 8␮m and a gap size of 8 ␮m The IDE

fingers were made by sputtering 20-nm Ti and 40-nm Pt on a layer

of silicon dioxide (SiO2) thermally grown on top of a silicon wafer

The suspension of LSCO was strewn on the IDE fingers

2.5 Measurement of sensing characteristics

Gas-sensing experiments were carried out using a capacitance

measurement system, as represented inFig 1 During the

experi-ment, an LSCO nanotube gas sensor was placed in a sealed chamber

Diluted NH3in a carrier gas of air flowed through the sealed

cham-ber while we are monitoring the capacitance and dielectric loss

of the LSCO nanotubes All measurements were operated at room

temperature The capacitance and dielectric loss responses during

testing were monitored by a precision impedance analyzer (Agilent

4294a)

3 Results and discussions

Fig 2illustrates the SEM images of LSCO nanotubes on

micro-electrodes It can be seen in Fig 2, the diameter of the LSCO

Fig 2 SEM image of LSCO nanotubes on Au microelectrodes.

nanotubes is about 50 nm, which is similar to the pore diameter

of the template These LSCO nanotubes are put over two Pt/Ti elec-trodes

The capacitive NH3sensing properties of LSCO nanotubes were measured at room temperature by placing the device in a testing chamber Exposure to NH3molecules increased the capacitance of the sensor (Fig 3) It has been found that there exists a dependency

of the capacitance on the applied signal frequency Clearly, the device’s response to NH3gas was more sensitive at lower frequency

A capacitance change of about three orders of magnitude had been achieved to 1000 ppm NH3at a frequency of 100 Hz However, the noise at low frequency was not neglected Therefore 10,000 Hz was chosen as the applied signal frequency to obtain enough sensitivity and negligible noise The dielectric loss versus frequency in dif-ferent concentrations of NH3 is depicted inFig 4 When the NH3

concentration increased, the resonant frequency shifts from low to high frequency, which is corresponding to faster ion transport in high NH3concentration of NH3

Typical response curve obtained with different steps of NH3 con-centration variation at the 10,000 Hz frequency is reported inFig 5; the measurements were performed at room temperature After 0.5% NH3was induced, the capacitance of the PAA sample increased

by about three orders of magnitude (Fig 5a) And then the NH3 con-centration decreased by 20% in every step The capacitance of the device decreased along with the decreasing NH3concentration The capacitance and dielectric loss variation versus NH3 concen-tration was measured for the same device and the plots are shown

Fig 3 Capacitance of LSCO nanotubes versus frequency at different NH3

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concen-Fig 4 Dielectric loss of LSCO nanotubes versus frequency at different NH3

concen-trations.

Fig 5 (a) Capacitance and (b) dielectric loss responses to the stepwise decreases of

the NH 3 concentration at a frequency of 10,000 Hz.

inFig 6 From the plot we can see that the capacitance of the device

increases along with the increasing NH3concentration It is clearly

evident that the LSCO nanotube sensor exhibits a greater

sensitiv-ity towards NH3 The detection limit of the LSCO nanotube sensor

is several ppm The capacitance varied with the NH3concentration

monotonically but nonlinearly, while the dielectric loss was

non-monotonically related to the NH3 concentration When the NH3

Fig 6 The plots of (a) and (b) dielectric loss variation as a function of NH3

concen-Fig 7 (a) Capacitance and (b) dielectric loss changes at 10,000 Hz upon exposure

to NH 3 of 10–200 ppm.

concentration is lower than 200 ppm, the dielectric loss increased with increasing NH3concentration However, in the range from 200

to 1000 ppm, the dielectric loss decreased with increasing NH3 con-centration These results matched well with the data inFig 4 In Fig 4, the points on the dashed line correspond to dielectric losses

at 10,000 Hz We can see that the dielectric loss peak is obtained to about 200 ppm of NH3, which corresponds to the peak in curve (b)

inFig 6

To understand the sensitivity in low NH3 concentration, the dynamics gas response of the LSCO nanotube sensor to low con-centrations of NH3is shown inFig 7 Curves (a) and (b) represent how the capacitance and dielectric loss responses to NH3of 200, 50,

30, 20 and 10 ppm, respectively The variation amplitudes at vari-ous NH3concentrations could be reflected clearly by the function of

device sensitivity We define capacitance response (SC) as the ratio

SC= ((CA− CG)/CA)× 100%, where CArepresents the capacitance in

air and CGthe capacitance in gas The dielectric loss response (SD)

is defined as the ratio SD= ((DA− DG)/DA)× 100%, where DA

rep-resents the dielectric loss in air and DGthe dielectric loss in gas

We can see that the capacitance response is 126, 61, 33, 16 and 12% to NH3of 400, 100, 50, 30 and 20 ppm respectively, while the dielectric loss response is 337, 220, 168, 112 and 80% The dielectric loss response is much higher than the capacitance response These results are in good accordance with the data inFig 6

Response time is one of the most important parameters for all sensors Generally, this property of a gas sensor mainly depends upon the response time at low gas concentrations The room-temperature response and recovery time of the LSCO nanotube sensor at low NH3concentrations are presented inFig 7 The exper-imental data showed that about only several seconds was needed for the capacitance to reach 90% of the total variation values dur-ing both NH3adsorption and desorption processes, These results were far better than most of other 1-D nanostructrued materials [1,11,12,16]

The sensing mechanism of LSCO nanotubes to NH3 was sug-gested to be related with the change of the overall dielectric constant or a surface reaction process The capacitance and dielec-tric loss variation with NH3of LSCO nanotubes may have originated mainly from the NH3molecule adsorption on the walls of LSCO nan-otubes, replacement of the air in the voids of the nanopores by NH3 vapors, and possible surface reaction The fast response and recov-ery time may be due to the physical adsorption of NH3on the LSCO nanotube surface

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and Development Program (973 Project) of China (Grant No.

2006CB932305)

References

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Biographies

Wei Liu received his MS degree in physics at Wuhan University in 2003 and presently

is a graduate student for her PhD degree in physics at Wuhan University Her field

of interest is nanomaterials and Lab on a Chip.

Sheng Wang received his MS degree in physics at Wuhan University in 2005 and

presently is a graduate student for her PhD degree in physics at Wuhan University His field of interest is nanomaterials and devices.

Yu Chen received his BS degree in physics at Wuhan University in 2007 and presently

is a graduate student for his MS degree in physics at Wuhan University.

Meiya Li received his PhD in physics at Beijing University in China (1997) and

presently is a professor in Department of Physics of Wuhan University His current fields of interest are nanomaterials.

Guojia Fang received his PhD in physics at Huazhong University of Science and

Technology in China (2000) and presently is a professor in Department of Physics of Wuhan University His current fields of interest are nanomaterials

Xing-Zhong Zhao received his PhD in physics at University of Science and

Technology of Beijing in China (1989) and presently is a professor in Depart-ment of Physics of Wuhan University His current fields of interest are Lab on a Chip.

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